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• W4386065485 abstract "In power systems, it is challenging to identify the faulty line and fault distance when compensating devices are present in the system. This work presents a fault locator using an Adaptive-Network-based Fuzzy Inference System (ANFIS) that accurately estimates the fault location on a compensated line in conjunction with an active power differential-based backup protection algorithm for faulty line identification. Both the faulty line identification algorithm and the ANFIS-based fault locator utilise the positive and negative sequence voltage and current phasors generated by the Phasor Measurement units (PMUs) placed in the system. The ANFIS-based fault locator is trained and tested using the simulated fault data obtained with a MATLAB Simulink model of a modified WSCC 9 bus system. The training data is generated by varying the fault distance in steps of 10 km. The line-to-line resistance (Rf) of 0.01 Ω, 0.1 Ω & 1 Ω, and the line-to-ground resistance (Rg) 1 Ω, 10 Ω & 100 Ω are used with different types of faults (LG, LLG, LLLG, LL& LLL) for training. Two ANFIS structures are trained for the fault distance estimation in compensated line - one for Static Synchronous Compensator (STATCOM) and the other for Static Synchronous Series Compensator (SSSC). Simulation results show the fault locator estimates the fault location accurately with a 5% tolerance in all the fault conditions simulated." @default.
• W4386065485 created "2023-08-23" @default.
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• W4386065485 date "2023-01-01" @default.
• W4386065485 modified "2023-10-16" @default.
• W4386065485 title "ANFIS-Based Fault Distance Locator With Active Power Differential-Based Faulty Line Identification Algorithm for Shunt and Series Compensated Transmission Line Using WAMS" @default.
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• W4386065485 doi "https://doi.org/10.1109/access.2023.3307466" @default.
• W4386065485 hasPublicationYear "2023" @default.
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